Financial Sentiment Analyzer автор Jorge García

Financial Sentiment Analyzer scans the text of any financial news article or webpage and instantly rates its sentiment tone — from Euphoric to Panic — using a fully local lexicon-based engine with over 1,100 financial terms and phrases.
No AI. No network requests. No data collection. Everything runs in your browser.
How it works:
Click the toolbar icon on any financial article (WSJ, Bloomberg, Reuters, CNBC, FT, MarketWatch, Seeking Alpha, etc.) and get an instant breakdown of the sentiment signals present in the text.
What it analyzes:

Overall sentiment score from -100 (Panic) to +100 (Euphoric) across 7 tiers: Panic, Bearish, Cautiously Bearish, Neutral, Cautiously Bullish, Bullish, and Euphoric
Signal breakdown by category with hit counts
Top driving keywords found in the article
Sentence-level heatmap showing which lines carry the strongest sentiment
Automatic detection of financial sector context (Macro/Fed, Equities, Credit, Crypto, Real Estate, Commodities, Tech, Banking)
Numeric pattern detection (e.g. "surged 45%", "plunged 30%", "$2 billion loss")
Hedge detection ("could recover", "might face pressure") to avoid overscoring uncertain language
Confidence score based on signal density

Lexicon coverage includes:
Earnings beats and misses, analyst upgrades and downgrades, Fed and monetary policy language, recession and contraction signals, bubble and mania language, M&A and credit market vocabulary, crypto-specific terminology, real estate stress indicators, and much more.
Privacy: This extension collects no data whatsoever. All analysis happens locally on your device. No text is ever sent anywhere.